Frequency emergency control strategy in power systems considering the participation of energy storage clusters
Recently, the power systems with a high penetration of renewables and power electronics have come into being. In these power systems, complex system dynamics, emergency faults, and insufficient frequency regulation reserve pose threats to system frequency stability. Based on the clustering developme...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1355344/full |
| _version_ | 1827329326467514368 |
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| author | Yang Liu Pingping Xie Guobing Wu Yue Chen Xu Lin Qiuyu Lu |
| author_facet | Yang Liu Pingping Xie Guobing Wu Yue Chen Xu Lin Qiuyu Lu |
| author_sort | Yang Liu |
| collection | DOAJ |
| description | Recently, the power systems with a high penetration of renewables and power electronics have come into being. In these power systems, complex system dynamics, emergency faults, and insufficient frequency regulation reserve pose threats to system frequency stability. Based on the clustering development of energy storage, to ensure the system frequency stability when emergency faults occur, this paper proposes a decentralized frequency emergency control (FEC) strategy considering the participation of energy storage clusters (ESCs). First, the overall framework of the optimal-droop-based FEC strategy is introduced, which achieves the coordination between FEC and conventional frequency regulation strategies. Second, to appropriately allocate the unbalanced power among the generators and ESCs, a general design method for optimal droop coefficients is proposed, which is applicable to various control objectives. The optimality of the droop coefficients is rigorously proven. This case study is carried out on an electromagnetic transient simulation platform, and the simulation results verify the effectiveness and optimality of the proposed FEC strategy. |
| first_indexed | 2024-03-07T15:32:17Z |
| format | Article |
| id | doaj.art-12358f5589dc4be189422c31c6fc6628 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-07T15:32:17Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-12358f5589dc4be189422c31c6fc66282024-03-05T14:54:25ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-03-011210.3389/fenrg.2024.13553441355344Frequency emergency control strategy in power systems considering the participation of energy storage clustersYang LiuPingping XieGuobing WuYue ChenXu LinQiuyu LuRecently, the power systems with a high penetration of renewables and power electronics have come into being. In these power systems, complex system dynamics, emergency faults, and insufficient frequency regulation reserve pose threats to system frequency stability. Based on the clustering development of energy storage, to ensure the system frequency stability when emergency faults occur, this paper proposes a decentralized frequency emergency control (FEC) strategy considering the participation of energy storage clusters (ESCs). First, the overall framework of the optimal-droop-based FEC strategy is introduced, which achieves the coordination between FEC and conventional frequency regulation strategies. Second, to appropriately allocate the unbalanced power among the generators and ESCs, a general design method for optimal droop coefficients is proposed, which is applicable to various control objectives. The optimality of the droop coefficients is rigorously proven. This case study is carried out on an electromagnetic transient simulation platform, and the simulation results verify the effectiveness and optimality of the proposed FEC strategy.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1355344/fullfrequency emergency controlenergy storage clusterdroop controloptimal controlpower system |
| spellingShingle | Yang Liu Pingping Xie Guobing Wu Yue Chen Xu Lin Qiuyu Lu Frequency emergency control strategy in power systems considering the participation of energy storage clusters Frontiers in Energy Research frequency emergency control energy storage cluster droop control optimal control power system |
| title | Frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| title_full | Frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| title_fullStr | Frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| title_full_unstemmed | Frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| title_short | Frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| title_sort | frequency emergency control strategy in power systems considering the participation of energy storage clusters |
| topic | frequency emergency control energy storage cluster droop control optimal control power system |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1355344/full |
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